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Sublinear Cost Low Rank Approximation via Subspace Sampling.

, , , and . MACIS, volume 11989 of Lecture Notes in Computer Science, page 89-104. Springer, (2019)

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CUR LRA at Sublinear Cost Based on Volume Maximization., and . MACIS, volume 11989 of Lecture Notes in Computer Science, page 105-121. Springer, (2019)Sublinear Cost Low Rank Approximation via Subspace Sampling., , , and . MACIS, volume 11989 of Lecture Notes in Computer Science, page 89-104. Springer, (2019)Low Rank Approximation Directed by Leverage Scores and Computed at Sub-linear Cost., , and . CoRR, (2019)Efficient CUR Matrix Decomposition via Relative-Error Double-Sided Least Squares Solving., and . ICTAI, page 309-314. IEEE, (2020)Low Rank Approximation at Sublinear Cost by Means of Subspace Sampling., , , and . CoRR, (2019)Fast Cauchy Sum Algorithms for Polynomial Zeros and Matrix Eigenvalues., , , and . CIAC, volume 13898 of Lecture Notes in Computer Science, page 336-352. Springer, (2023)Enriching Semantic Features for Medical Report Generation., , , , and . NLPCC (2), volume 14303 of Lecture Notes in Computer Science, page 469-480. Springer, (2023)Faster Numerical Univariate Polynomial Root-Finding by Means of Subdivision Iterations., , , and . CASC, volume 12291 of Lecture Notes in Computer Science, page 431-446. Springer, (2020)CUR Low Rank Approximation of a Matrix at Sub-linear Cost., , , and . CoRR, (2019)Refinement of Low Rank Approximation of a Matrix at Sub-linear Cost., and . CoRR, (2019)